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Yonsei University
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Data contamination leaves a tell-tale geometric fingerprint across LLM layers, detectable even when standard output-based methods fail after RL post-training.
Newer LLMs are producing *more* fake citations when attempting to solve research-level math problems, highlighting a critical challenge for trustworthy AI-driven research.
